 [1]}
consists in measuring the correlation between the fall of the score when variables are put at a baseline state and the importance of these variables. Formally:
\(\mu \text{Fidelity} = \underset{{{u}}\subseteq \lbrace 1, ..., d\rbrace  \atop |{{u}}| = k}{\operatorname{Corr}}\left( \sum _{i \in {{u}}} {g}(x)_i , {f}(x) - {f}(x_{[x_{{{u}}} = x_0]})\right)\) 
